The Role
Develop AI, machine learning, generative AI, and data solutions within an enterprise SAP environment. Build Python applications and AWS Lambda services, design and integrate REST APIs, implement automated testing, and support SAP Datasphere data modeling and integration. Use AWS and Terraform for cloud infrastructure, explore LLM integrations, write SQL, collaborate with global Agile teams, and coach colleagues when needed.
Summary Generated by Built In
Ready to take your AI engineering career into an enterprise SAP environment? This is an opportunity to work on cutting-edge Artificial Intelligence, Machine Learning, Generative AI and data solutions while collaborating with global technology teams.
We're looking for an experienced AI Engineer who can combine strong Python development skills with cloud engineering, APIs, data analytics and modern AI technologies to build intelligent solutions that solve real business problems.
Requirements
ESSENTIAL SKILLS:
1. Python Programming
- Strong understanding of Python syntax and principles of clean, reusable code.
- Understanding of Python frameworks and libraries e.g. Pandas and NumPy.
2. AWS Lambda Functions
- Experience developing, deploying, and managing serverless applications using AWS Lambda.
- Proficiency in writing unit and integration tests for AWS Lambda functions to ensure functionality, performance, and reliability.
3. Version Control with Git
- Experience with Git repositories and code management (e.g. GitHub).
- Proficiency in using Git for version control and collaboration.
4. Testing Frameworks
- Experience with testing tools like pytest for creating and maintaining unit tests.
- Ability to implement automated testing pipelines to ensure code reliability.
5. API Management
- API designing principles and best practices.
- Experience in working with RESTful APIs and understanding how to consume and create APIs.
- Familiarity with API management tools, such as Apigee, for efficient and secure API integration.
6. Cloud Platforms
- Understanding how to deploy application applications in AWS.
7. IDE And Tools
- Visual studio code.
- GitHub Desktop.
- PyCharm.
- Jupyter Notebook.
- Any additional responsibilities assigned in the Agile Working Model (AWM) Charter.
ADVANTAGEOUS SKILLS:
- Strong understanding of SQL and experience writing complex queries for data extraction and manipulation.
- Basic understanding of Large Language Models (LLMs) like GPT-4 and their applications.
- Familiarity with integrating LLM APIs (e.g., OpenAI, Hugging Face) into Python applications is a plus.
- Experience and Knowledge about SAP Analytics Stack and Tools.
- Experience in designing and creating data models within SAP Datasphere leveraging Python for data transformation tasks.
- Experience in developing and implementing data integration solutions to connect various data sources to SAP Datasphere using Python scripts and APIs.
- Implementing and managing infrastructure on AWS using Terraform.
- Understanding and experience with Generative AI use cases or projects.
- Coaching and giving training to fellow colleagues and users when required.
QUALIFICATIONS/EXPERIENCE:
- Bachelor’s degree in Computer Science, Software Engineering, or similar qualification.
- 3+ years’ experience in developing in Python.
- Strong background in software development, mathematics, and good analytical and problem-solving skills.
- Experience in AI Solutions.
Benefits
- Cutting edge global IT system landscape and processes.
- Flexible working of 1960 hours in a 12-month period.
- High Work-Life balance.
- Remote / On-site work location flexibility.
- Highly motivating, energetic, and fast-paced working environment.
- Modern, state-of-the-art offices.
- Dynamic Global Team collaboration.
- Application of the Agile Working Model Methodology.
Skills Required
- Strong Python programming and clean, reusable code development
- Experience with Python libraries and frameworks such as Pandas and NumPy
- Experience developing, deploying, and managing AWS Lambda serverless applications
- Experience writing unit and integration tests for AWS Lambda functions
- Experience with Git repositories and version control, such as GitHub
- Experience with pytest and automated testing pipelines
- Knowledge of API design principles, RESTful APIs, and API creation and consumption
- Familiarity with API management tools such as Apigee
- Understanding of deploying applications in AWS
- Experience with Visual Studio Code, GitHub Desktop, PyCharm, and Jupyter Notebook
- Bachelor's degree in Computer Science, Software Engineering, or a similar qualification
- At least 3 years of Python development experience
- Strong software development, mathematics, analytical, and problem-solving skills
- Experience developing AI solutions
- Strong SQL skills and experience writing complex queries
- Basic understanding of LLMs such as GPT-4 and their applications
- Experience integrating LLM APIs such as OpenAI or Hugging Face with Python applications
- Experience with SAP Analytics Stack and tools
- Experience creating SAP Datasphere data models and performing Python-based data transformations
- Experience developing data integration solutions for SAP Datasphere using Python and APIs
- Experience implementing and managing AWS infrastructure with Terraform
- Experience with generative AI use cases or projects
- Ability to coach and train colleagues and users
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The Company
What We Do
Sabenza IT is a niche recruitment company specializing in Information Technology, SAP, Finance, and Engineering roles, with over 23 years of experience.
